This skill assists in implementing Real User Monitoring (RUM) to capture and analyze actual user performance data. It helps set up tracking for key metrics like Core Web Vitals, page load times, and custom performance events. Use this skill when the user asks to "setup RUM", "implement real user monitoring", "track user experience", or needs assistance with "performance monitoring". It guides the user through choosing a RUM platform, designing an instrumentation strategy, and implementing the necessary tracking code.
Installation
Details
Usage
After installing, this skill will be available to your AI coding assistant.
Verify installation:
skills listSkill Instructions
name: implementing-real-user-monitoring description: | This skill assists in implementing Real User Monitoring (RUM) to capture and analyze actual user performance data. It helps set up tracking for key metrics like Core Web Vitals, page load times, and custom performance events. Use this skill when the user asks to "setup RUM", "implement real user monitoring", "track user experience", or needs assistance with "performance monitoring". It guides the user through choosing a RUM platform, designing an instrumentation strategy, and implementing the necessary tracking code.
Overview
This skill streamlines the process of setting up Real User Monitoring (RUM) for web applications. It guides you through the essential steps of choosing a platform, defining metrics, and implementing the tracking code to capture valuable user experience data.
How It Works
- Platform Selection: Helps you consider available RUM platforms (e.g., Google Analytics, Datadog RUM, New Relic).
- Instrumentation Design: Guides you in defining the key performance metrics to track, including Core Web Vitals and custom events.
- Tracking Code Implementation: Assists in implementing the necessary JavaScript code to collect and transmit performance data.
When to Use This Skill
This skill activates when you need to:
- Implement Real User Monitoring on a website or web application.
- Track Core Web Vitals (LCP, FID, CLS) to improve user experience.
- Monitor page load times (FCP, TTI, TTFB) for performance optimization.
Examples
Example 1: Setting up RUM for a new website
User request: "setup RUM for my new website"
The skill will:
- Guide the user through selecting a RUM platform.
- Provide code snippets for implementing basic tracking.
Example 2: Tracking custom performance metrics
User request: "I want to track how long it takes users to complete a purchase"
The skill will:
- Help define a custom performance metric for purchase completion time.
- Generate JavaScript code to track the metric.
Best Practices
- Privacy Compliance: Ensure compliance with privacy regulations (e.g., GDPR, CCPA) when collecting user data.
- Sampling: Implement sampling to reduce data volume and impact on performance.
- Error Handling: Implement robust error handling to prevent tracking code from breaking the website.
Integration
This skill can be used in conjunction with other monitoring and analytics tools to provide a comprehensive view of application performance.
More by jeremylongshore
View allRabbitmq Queue Setup - Auto-activating skill for Backend Development. Triggers on: rabbitmq queue setup, rabbitmq queue setup Part of the Backend Development skill category.
evaluating-machine-learning-models: This skill allows Claude to evaluate machine learning models using a comprehensive suite of metrics. It should be used when the user requests model performance analysis, validation, or testing. Claude can use this skill to assess model accuracy, precision, recall, F1-score, and other relevant metrics. Trigger this skill when the user mentions "evaluate model", "model performance", "testing metrics", "validation results", or requests a comprehensive "model evaluation".
building-neural-networks: This skill allows Claude to construct and configure neural network architectures using the neural-network-builder plugin. It should be used when the user requests the creation of a new neural network, modification of an existing one, or assistance with defining the layers, parameters, and training process. The skill is triggered by requests involving terms like "build a neural network," "define network architecture," "configure layers," or specific mentions of neural network types (e.g., "CNN," "RNN," "transformer").
Oauth Callback Handler - Auto-activating skill for API Integration. Triggers on: oauth callback handler, oauth callback handler Part of the API Integration skill category.
